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Asier SanchezAS

Asier Sanchez

Software engineer specialized in development

€220/day
Bilbao, ES
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Asier

I am a software engineer specializing in full-stack development and artificial intelligence integration. I combine solid backend with Spring Boot and REST APIs with automation and AI solutions — from management systems to LLM-powered agents.
I have built real projects: a recycling management system with a three-server architecture (Spring Boot + Thymeleaf), an LLM inference orchestrator with optimized search algorithms, and an IoT system with Raspberry Pi, MQTT, and Flask. I work well remotely, deliver clean and documented code, and adapt quickly to project needs.
Available for backend development projects, API integration, AI automation, and technical MVPs.
  • Spanish

    Native or bilingual

  • English

    Conversational

  • Basque

    Native or bilingual

Can work on-site
Bilbao (up to 50km)

Experience

  • Universidad de deusto
    LLM Inference Orchestrator
    September 2025 - Today (11 months)
    • Modeled and solved a state-space search problem using BFS, DFS, A*, and variants in R.
    • Designed admissible heuristics to optimize inference orchestration in LLM systems.
    • Performed a comparative analysis of algorithms, identifying A* Graph Search as the optimal solution.
    • Generated comprehensive technical documentation, including heuristic justification and results analysis.
  • Universidad de Deusto,
    Ecoembes Recycling Plant
    September 2025 - December 2025 (3 months)
    • Developed a distributed system (3 servers) using Spring Boot, implementing Facade, DAO, Strategy, and Factory patterns.
    • Designed and implemented a REST API with Swagger and created clients with Thymeleaf and Swing.
    • Microservices-oriented architecture, establishing a clear separation in AppService, Service Gateway, and DTO layers.
  • Universidad de Deusto
    Smart IoT Bank
    January 2025 - May 2025 (4 months)
    Prototyped an IoT system with Raspberry Pi, integrating sensors and actuators, controlled via Python software.
    • Integrated hardware/software components into an embedded system, achieving effective operation.

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Education

  • Degree in Computer Engineering
    University of Deusto
    2026
    Grado en Ingeniería Informática
  • Machine Learning for Data Science Projects
    IBM
    2026
    Machine Learning for Data Science Projects

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